OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6619, kappa: 0.3547, kb_relative_information_score: 270.7029, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7873, predictive_accuracy: 0.7014, prior_entropy: 0.9913, recall: 0.7014, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7944, kappa: 0.5844, kb_relative_information_score: 400.959, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7949, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8482, kappa: 0.6967, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7836, kappa: 0.5609, kb_relative_information_score: 390.7828, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7908, predictive_accuracy: 0.787, prior_entropy: 0.9913, recall: 0.787, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1846, f_measure: 0.1945, kappa: -0.6303, kb_relative_information_score: -441.6351, mean_absolute_error: 0.8058, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.1947, predictive_accuracy: 0.1942, prior_entropy: 0.9913, recall: 0.1942, relative_absolute_error: 1.6313, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8977, root_relative_squared_error: 1.8063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4028, kappa: 0.0072, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7539, predictive_accuracy: 0.558, prior_entropy: 0.9913, recall: 0.558, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7585, kappa: 0.513, kb_relative_information_score: 350.0777, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7602, predictive_accuracy: 0.758, prior_entropy: 0.9913, recall: 0.758, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.492, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.8538, kappa: 0.7031, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8574, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6791, kappa: 0.3492, kb_relative_information_score: 240.1742, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6787, predictive_accuracy: 0.6797, prior_entropy: 0.9913, recall: 0.6797, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7925, kappa: 0.5795, kb_relative_information_score: 398.9238, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7924, predictive_accuracy: 0.7928, prior_entropy: 0.9913, recall: 0.7928, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2189, f_measure: 0.2281, kappa: -0.5614, kb_relative_information_score: -394.8243, mean_absolute_error: 0.7725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.2287, predictive_accuracy: 0.2275, prior_entropy: 0.9913, recall: 0.2275, relative_absolute_error: 1.5638, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8789, root_relative_squared_error: 1.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8044, kappa: 0.604, kb_relative_information_score: 415.2058, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8044, predictive_accuracy: 0.8043, prior_entropy: 0.9913, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7988, kappa: 0.5931, kb_relative_information_score: 407.0648, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7991, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8554, kappa: 0.7118, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8671, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6566, kappa: 0.303, kb_relative_information_score: 209.6454, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6563, predictive_accuracy: 0.658, prior_entropy: 0.9913, recall: 0.658, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8569, kappa: 0.7137, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4028, kappa: 0.0072, kb_relative_information_score: 69.213, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7539, predictive_accuracy: 0.558, prior_entropy: 0.9913, recall: 0.558, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8101, kappa: 0.6155, kb_relative_information_score: 423.3468, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8101, predictive_accuracy: 0.8101, prior_entropy: 0.9913, recall: 0.8101, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7547, kappa: 0.5027, kb_relative_information_score: 346.0072, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7545, predictive_accuracy: 0.7551, prior_entropy: 0.9913, recall: 0.7551, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8512, kappa: 0.7014, kb_relative_information_score: 480.3338, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.8033, kappa: 0.603, kb_relative_information_score: 413.1705, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8046, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7527, kappa: 0.5007, kb_relative_information_score: 341.9367, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7538, predictive_accuracy: 0.7522, prior_entropy: 0.9913, recall: 0.7522, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7303, kappa: 0.4539, kb_relative_information_score: 311.408, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7303, predictive_accuracy: 0.7304, prior_entropy: 0.9913, recall: 0.7304, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1798, f_measure: 0.1898, kappa: -0.6426, kb_relative_information_score: -445.7056, mean_absolute_error: 0.8087, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.1884, predictive_accuracy: 0.1913, prior_entropy: 0.9913, recall: 0.1913, relative_absolute_error: 1.6372, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8993, root_relative_squared_error: 1.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8671, kappa: 0.7333, kb_relative_information_score: 502.7216, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8727, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.7568, kappa: 0.5083, kb_relative_information_score: 348.0425, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7573, predictive_accuracy: 0.7565, prior_entropy: 0.9913, recall: 0.7565, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8234, kappa: 0.6432, kb_relative_information_score: 441.6641, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.824, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.7538, kappa: 0.5018, kb_relative_information_score: 343.972, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.754, predictive_accuracy: 0.7536, prior_entropy: 0.9913, recall: 0.7536, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1732, f_measure: 0.1834, kappa: -0.6546, kb_relative_information_score: -455.8819, mean_absolute_error: 0.8159, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.1827, predictive_accuracy: 0.1841, prior_entropy: 0.9913, recall: 0.1841, relative_absolute_error: 1.6519, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.9033, root_relative_squared_error: 1.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.4281, kappa: 0.036, kb_relative_information_score: 85.495, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7576, predictive_accuracy: 0.5696, prior_entropy: 0.9913, recall: 0.5696, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6561, root_relative_squared_error: 1.3202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7381, kappa: 0.4708, kb_relative_information_score: 321.5842, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7389, predictive_accuracy: 0.7377, prior_entropy: 0.9913, recall: 0.7377, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7424, kappa: 0.4797, kb_relative_information_score: 327.69, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7433, predictive_accuracy: 0.742, prior_entropy: 0.9913, recall: 0.742, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.4515, kappa: 0.0618, kb_relative_information_score: 99.7418, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7375, predictive_accuracy: 0.5797, prior_entropy: 0.9913, recall: 0.5797, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6483, root_relative_squared_error: 1.3045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8076, kappa: 0.6124, kb_relative_information_score: 429.4526, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8365, predictive_accuracy: 0.8145, prior_entropy: 0.9913, recall: 0.8145, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.854, kappa: 0.7086, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.8541, kappa: 0.7073, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.86, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8056, kappa: 0.6061, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8055, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.8013, kappa: 0.5974, kb_relative_information_score: 411.1353, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9913, recall: 0.8014, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8059, kappa: 0.6073, kb_relative_information_score: 417.241, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8061, predictive_accuracy: 0.8058, prior_entropy: 0.9913, recall: 0.8058, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.8396, kappa: 0.6775, kb_relative_information_score: 464.0518, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8004, kappa: 0.5972, kb_relative_information_score: 409.1, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8017, predictive_accuracy: 0.8, prior_entropy: 0.9913, recall: 0.8, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.5801, kappa: 0.2027, kb_relative_information_score: 173.0109, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6735, predictive_accuracy: 0.6319, prior_entropy: 0.9913, recall: 0.6319, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8364, kappa: 0.6692, kb_relative_information_score: 459.9813, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8367, predictive_accuracy: 0.8362, prior_entropy: 0.9913, recall: 0.8362, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8554, kappa: 0.7083, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8569, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.8115, kappa: 0.6181, kb_relative_information_score: 425.3821, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8114, predictive_accuracy: 0.8116, prior_entropy: 0.9913, recall: 0.8116, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7759, kappa: 0.5534, kb_relative_information_score: 374.5008, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.787, predictive_accuracy: 0.7754, prior_entropy: 0.9913, recall: 0.7754, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7968, kappa: 0.5882, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7967, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7596, kappa: 0.5139, kb_relative_information_score: 352.113, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.76, predictive_accuracy: 0.7594, prior_entropy: 0.9913, recall: 0.7594, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7607, kappa: 0.5154, kb_relative_information_score: 354.1482, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7607, predictive_accuracy: 0.7609, prior_entropy: 0.9913, recall: 0.7609, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.489, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.797, kappa: 0.589, kb_relative_information_score: 405.0295, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6109, kappa: 0.2759, kb_relative_information_score: 223.8922, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7771, predictive_accuracy: 0.6681, prior_entropy: 0.9913, recall: 0.6681, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8537, kappa: 0.7041, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8539, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.3986, kappa: -0.0101, kb_relative_information_score: 57.0015, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.4181, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6714, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7926, kappa: 0.58, kb_relative_information_score: 398.9238, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7926, predictive_accuracy: 0.7928, prior_entropy: 0.9913, recall: 0.7928, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8582, kappa: 0.7136, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.859, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7868, kappa: 0.5683, kb_relative_information_score: 390.7828, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9913, recall: 0.787, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6952, kappa: 0.3822, kb_relative_information_score: 262.5619, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.695, predictive_accuracy: 0.6957, prior_entropy: 0.9913, recall: 0.6957, relative_absolute_error: 0.6161, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3167, f_measure: 0.3249, kappa: -0.3664, kb_relative_information_score: -258.4625, mean_absolute_error: 0.6754, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3251, predictive_accuracy: 0.3246, prior_entropy: 0.9913, recall: 0.3246, relative_absolute_error: 1.3673, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.8218, root_relative_squared_error: 1.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8439, kappa: 0.6853, kb_relative_information_score: 470.1576, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.846, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8494, kappa: 0.6952, kb_relative_information_score: 478.2986, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8495, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8555, kappa: 0.7114, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8656, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1739, f_measure: 0.184, kappa: -0.6543, kb_relative_information_score: -453.8466, mean_absolute_error: 0.8145, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.1826, predictive_accuracy: 0.1855, prior_entropy: 0.9913, recall: 0.1855, relative_absolute_error: 1.6489, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.9025, root_relative_squared_error: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8482, kappa: 0.6967, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.784, kappa: 0.5627, kb_relative_information_score: 386.7123, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.784, predictive_accuracy: 0.7841, prior_entropy: 0.9913, recall: 0.7841, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8155, kappa: 0.6258, kb_relative_information_score: 431.4878, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8156, predictive_accuracy: 0.8159, prior_entropy: 0.9913, recall: 0.8159, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8482, kappa: 0.6967, kb_relative_information_score: 476.2633, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7985, kappa: 0.592, kb_relative_information_score: 407.0648, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7985, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.1425, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8627, kappa: 0.7258, kb_relative_information_score: 496.6159, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8725, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8393, kappa: 0.6753, kb_relative_information_score: 464.0518, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8398, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8071,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs